Implications of real-time data for forecasting and modeling expectations
This note extends the analysis in Stark and Croushore (2001) with an emphasis on the importance of data vintage for survey forecasts and modeling expectations. For both of these types of empirical exercises, results suggest that the choice of latest available or real-time data is critical for variables subject to large level revisions, but almost irrelevant for variables subject to only small revisions. Other forecasting practices were examined, with some surprising results.
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Society for Computational Economics, vol. 11(1-2), pages 21-40, April.
- Sharon Kozicki & P.A. Tinsley, 1996. "Moving endpoints and the internal consistency of agents' ex ante forecasts," Finance and Economics Discussion Series 96-47, Board of Governors of the Federal Reserve System (U.S.).
- Sharon Kozicki & P.A. Tinsley, 1997. "Moving endpoints and the internal consistency of agents' ex ante forecasts," Research Working Paper 97-01, Federal Reserve Bank of Kansas City.
- Tom Stark and Dean Croushore, 2001.
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Computing in Economics and Finance 2001
258, Society for Computational Economics.
- Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
- Tom Stark & Dean Croushore, 2001. "Forecasting with a real-time data set for macroeconomists," Working Papers 01-10, Federal Reserve Bank of Philadelphia.
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